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DSS covers scenarios including data exchange, desensitization/cleansing, analysis/mining, quality measurement, visualization, task scheduling and data exporting.
Implementation of Diffusion Convolutional Recurrent Neural Network
A Python implementation of Deep Belief Networks built upon NumPy and TensorFlow with scikit-learn compatibility
Deep Image Matting
Convolutional and LSTM networks to classify human activity
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
Deep Learning with PyTorch, published by Packt
Deep Learning with TensorFlow by Packt
Deep Learning with TensorFlow – Second Edition, published by Packt
Algorithmic trading with deep learning experiments
暂时停止更新,去做些巩固基础的工作
make a better chinese character recognition OCR than tesseract
A Deep Dynamic Memory Model for Predictive Medicine
Deep Learning API and Server in C++11 with Python bindings and support for Caffe, Tensorflow, XGBoost and TSNE
Deep Learning on 身份证识别
An in-depth machine learning tutorial introducing readers to a whole machine learning pipeline from scratch.
A TensorFlow implementation of Baidu's DeepSpeech architecture
A cluster framework for 'Clustering by fast search and find of density peaks' in science 2014.
Deep learning face detection and recognition, implemented by pytorch. (pytorch实现的人脸检测和人脸识别)
Python package built to ease deep learning on graph, on top of existing DL frameworks.
Fast, Distributed Graph DB
:speech_balloon: General purpose conversational agent with pretrained XLNet and GPT-2 in PyTorch.
本项目将《动手学深度学习》原书中的MXNet代码实现改为PyTorch实现。
本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为TensorFlow 2.0实现,项目已得到李沐老师的同意
An Engine-Agnostic Deep Learning Framework in Java
Medical Q&A with Deep Language Models
A knowledge graph and a set of tools for drug repurposing
Deep networks with Temporal Pyramid Pooling. The official implementation for "End-to-end Video-level Representation Learning for Action Recognition, ICPR 2018."
Easy Machine Learning is a general-purpose dataflow-based system for easing the process of applying machine learning algorithms to real world tasks.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.